A world-leading global innovator of business and technology services, this company partners with 75% of the Fortune Global 100 to drive innovation, optimize operations, and achieve long-term success. With a global presence and a robust ecosystem of partners, they are at the forefront of digital and AI infrastructure.
The Role
- Design, develop, train, and deploy Machine Learning models for enterprise use cases.
- Develop data preprocessing, feature engineering, model training, and evaluation pipelines.
- Build and integrate AI/ML services with enterprise applications using APIs and Microservices.
- Evaluate ML algorithms and optimize models for accuracy, performance, and scalability.
- Develop automated ML pipelines for model training, testing, deployment, and monitoring.
- Implement MLOps practices for model versioning, deployment, monitoring, and lifecycle management.
What You'll Need
- 5+ years of experience in Python development, Data Science, or Machine Learning engineering.
- 3+ years of experience developing ML solutions using Scikit-learn, TensorFlow, PyTorch, or similar frameworks.
- 3+ years of experience with data processing, feature engineering, SQL, and model development.
- 2+ years of experience deploying AI/ML solutions on AWS, Azure, or Google Cloud Platform.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
What's On Offer
- Opportunity to work with cutting-edge AI/ML technologies, including Generative AI and LLMs.
- Collaborative environment with data scientists, data engineers, and business stakeholders.
- Focus on building production-ready ML solutions and integrating AI capabilities into enterprise applications.
- Competitive compensation.
Apply via Haystack today!